EDA Report of Breast Cancer Dataset

Dataset statistics

Number of variables	25
Number of observations	699
Missing cells	987
Missing cells (%)	5.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	127.1 KiB
Average record size in memory	186.2 B

Variable types

Categorical	9
Numeric	6
Text	7
Boolean	2
Unsupported	1

Alerts

`season` has constant value ""	Constant
`country` has constant value ""	Constant
`match_id` is highly overall correlated with `match_name` and 4 other fields	High correlation
`runs` is highly overall correlated with `ballsFaced` and 2 other fields	High correlation
`ballsFaced` is highly overall correlated with `runs` and 2 other fields	High correlation
`fours` is highly overall correlated with `runs` and 1 other fields	High correlation
`sixes` is highly overall correlated with `runs` and 1 other fields	High correlation
`runningOver` is highly overall correlated with `isNotOut`	High correlation
`match_name` is highly overall correlated with `match_id` and 5 other fields	High correlation
`home_team` is highly overall correlated with `match_id` and 5 other fields	High correlation
`away_team` is highly overall correlated with `match_id` and 5 other fields	High correlation
`venue` is highly overall correlated with `match_id` and 4 other fields	High correlation
`city` is highly overall correlated with `match_id` and 4 other fields	High correlation
`current_innings` is highly overall correlated with `match_name` and 2 other fields	High correlation
`isNotOut` is highly overall correlated with `runningOver`	High correlation
`runningOver` has 144 (20.6%) missing values	Missing
`commentary` has 144 (20.6%) missing values	Missing
`link` has 699 (100.0%) missing values	Missing
`link` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`runs` has 82 (11.7%) zeros	Zeros
`ballsFaced` has 11 (1.6%) zeros	Zeros
`fours` has 338 (48.4%) zeros	Zeros
`sixes` has 502 (71.8%) zeros	Zeros

Reproduction

Analysis started	2023-11-03 17:00:26.094894
Analysis finished	2023-11-03 17:00:37.035258
Duration	10.94 seconds
Software version	ydata-profiling vv4.6.0
Download configuration	config.json

season
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

2022	699

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	2796
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2022
2nd row	2022
3rd row	2022
4th row	2022
5th row	2022

Common Values

Value	Count	Frequency (%)
2022	699	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2022	699	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	2097	75.0%
0	699	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2796	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	2097	75.0%
0	699	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2796	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	2097	75.0%
0	699	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2796	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	2097	75.0%
0	699	25.0%

match_id
Real number (ℝ)

HIGH CORRELATION

Distinct	42
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1298156.7

Minimum	1298135
Maximum	1298179
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1298135
5-th percentile	1298136
Q1	1298144
median	1298157
Q3	1298169
95-th percentile	1298177
Maximum	1298179
Range	44
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	13.412498
Coefficient of variation (CV)	1.0331956 × 10^-5
Kurtosis	-1.3207586
Mean	1298156.7
Median Absolute Deviation (MAD)	12
Skewness	-0.021732866
Sum	9.0741154 × 10⁸
Variance	179.89509
Monotonicity	Decreasing

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
1298170	21	3.0%
1298151	21	3.0%
1298140	21	3.0%
1298161	20	2.9%
1298142	20	2.9%
1298158	19	2.7%
1298143	19	2.7%
1298135	19	2.7%
1298172	19	2.7%
1298138	19	2.7%
Other values (32)	501	71.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1298135	19	2.7%
1298136	19	2.7%
1298137	18	2.6%
1298138	19	2.7%
1298139	15	2.1%
1298140	21	3.0%
1298141	12	1.7%
1298142	20	2.9%
1298143	19	2.7%
1298144	15	2.1%

Value	Count	Frequency (%)
1298179	17	2.4%
1298178	9	1.3%
1298177	11	1.6%
1298176	18	2.6%
1298175	17	2.4%
1298174	16	2.3%
1298173	17	2.4%
1298172	19	2.7%
1298171	19	2.7%
1298170	21	3.0%

match_name
Categorical

HIGH CORRELATION

Distinct	42
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

PAK v SA	21
SL v UAE	21
BAN v NED	21
NZ v SL	20
WI v ZIM	20
Other values (37)	596

Length

Max length	11
Median length	10
Mean length	8.8354793
Min length	7

Characters and Unicode

Total characters	6176
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ENG v PAK
2nd row	ENG v PAK
3rd row	ENG v PAK
4th row	ENG v PAK
5th row	ENG v PAK

Common Values

Value	Count	Frequency (%)
PAK v SA	21	3.0%
SL v UAE	21	3.0%
BAN v NED	21	3.0%
NZ v SL	20	2.9%
WI v ZIM	20	2.9%
PAK v ZIM	19	2.7%
NED v SL	19	2.7%
NAM v SL	19	2.7%
AUS v AFG	19	2.7%
IRE v ZIM	19	2.7%
Other values (32)	501	71.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
v	699	33.3%
ned	140	6.7%
sl	137	6.5%
zim	135	6.4%
pak	120	5.7%
ire	109	5.2%
eng	95	4.5%
india	94	4.5%
ban	90	4.3%
nz	82	3.9%
Other values (7)	396	18.9%

Most occurring characters

Value	Count	Frequency (%)
	1398	22.6%
v	699	11.3%
A	607	9.8%
N	550	8.9%
I	480	7.8%
E	399	6.5%
S	329	5.3%
D	234	3.8%
Z	217	3.5%
M	184	3.0%
Other values (12)	1079	17.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	4079	66.0%
Space Separator	1398	22.6%
Lowercase Letter	699	11.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	607	14.9%
N	550	13.5%
I	480	11.8%
E	399	9.8%
S	329	8.1%
D	234	5.7%
Z	217	5.3%
M	184	4.5%
G	147	3.6%
L	137	3.4%
Other values (10)	795	19.5%

Space Separator

Value	Count	Frequency (%)
	1398	100.0%

Lowercase Letter

Value	Count	Frequency (%)
v	699	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4778	77.4%
Common	1398	22.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
v	699	14.6%
A	607	12.7%
N	550	11.5%
I	480	10.0%
E	399	8.4%
S	329	6.9%
D	234	4.9%
Z	217	4.5%
M	184	3.9%
G	147	3.1%
Other values (11)	932	19.5%

Common

Value	Count	Frequency (%)
	1398	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6176	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1398	22.6%
v	699	11.3%
A	607	9.8%
N	550	8.9%
I	480	7.8%
E	399	6.5%
S	329	5.3%
D	234	3.8%
Z	217	3.5%
M	184	3.0%
Other values (12)	1079	17.5%

home_team
Categorical

HIGH CORRELATION

Distinct	16
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

INDIA	76
SL	70
NZ	66
ZIM	64
PAK	56
Other values (11)	367

Length

Max length	5
Median length	3
Mean length	3.018598
Min length	2

Characters and Unicode

Total characters	2110
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PAK
2nd row	PAK
3rd row	PAK
4th row	PAK
5th row	PAK

Common Values

Value	Count	Frequency (%)
INDIA	76	10.9%
SL	70	10.0%
NZ	66	9.4%
ZIM	64	9.2%
PAK	56	8.0%
BAN	56	8.0%
SCOT	45	6.4%
AUS	37	5.3%
UAE	34	4.9%
NAM	34	4.9%
Other values (6)	161	23.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
india	76	10.9%
sl	70	10.0%
nz	66	9.4%
zim	64	9.2%
pak	56	8.0%
ban	56	8.0%
scot	45	6.4%
aus	37	5.3%
uae	34	4.9%
nam	34	4.9%
Other values (6)	161	23.0%

Most occurring characters

Value	Count	Frequency (%)
A	344	16.3%
N	281	13.3%
I	277	13.1%
S	170	8.1%
Z	130	6.2%
E	114	5.4%
D	109	5.2%
M	98	4.6%
U	71	3.4%
L	70	3.3%
Other values (10)	446	21.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2110	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	344	16.3%
N	281	13.3%
I	277	13.1%
S	170	8.1%
Z	130	6.2%
E	114	5.4%
D	109	5.2%
M	98	4.6%
U	71	3.4%
L	70	3.3%
Other values (10)	446	21.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2110	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	344	16.3%
N	281	13.3%
I	277	13.1%
S	170	8.1%
Z	130	6.2%
E	114	5.4%
D	109	5.2%
M	98	4.6%
U	71	3.4%
L	70	3.3%
Other values (10)	446	21.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2110	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	344	16.3%
N	281	13.3%
I	277	13.1%
S	170	8.1%
Z	130	6.2%
E	114	5.4%
D	109	5.2%
M	98	4.6%
U	71	3.4%
L	70	3.3%
Other values (10)	446	21.1%

away_team
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

NED	107
ENG	79
IRE	78
ZIM	71
SL	67
Other values (10)	297

Length

Max length	5
Median length	3
Mean length	2.8168813
Min length	2

Characters and Unicode

Total characters	1969
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ENG
2nd row	ENG
3rd row	ENG
4th row	ENG
5th row	ENG

Common Values

Value	Count	Frequency (%)
NED	107	15.3%
ENG	79	11.3%
IRE	78	11.2%
ZIM	71	10.2%
SL	67	9.6%
PAK	64	9.2%
SA	63	9.0%
BAN	34	4.9%
AUS	29	4.1%
UAE	21	3.0%
Other values (5)	86	12.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ned	107	15.3%
eng	79	11.3%
ire	78	11.2%
zim	71	10.2%
sl	67	9.6%
pak	64	9.2%
sa	63	9.0%
ban	34	4.9%
aus	29	4.1%
uae	21	3.0%
Other values (5)	86	12.3%

Most occurring characters

Value	Count	Frequency (%)
E	285	14.5%
N	269	13.7%
A	263	13.4%
I	203	10.3%
S	159	8.1%
D	125	6.3%
G	98	5.0%
Z	87	4.4%
M	86	4.4%
R	78	4.0%
Other values (7)	316	16.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1969	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	285	14.5%
N	269	13.7%
A	263	13.4%
I	203	10.3%
S	159	8.1%
D	125	6.3%
G	98	5.0%
Z	87	4.4%
M	86	4.4%
R	78	4.0%
Other values (7)	316	16.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1969	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	285	14.5%
N	269	13.7%
A	263	13.4%
I	203	10.3%
S	159	8.1%
D	125	6.3%
G	98	5.0%
Z	87	4.4%
M	86	4.4%
R	78	4.0%
Other values (7)	316	16.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1969	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	285	14.5%
N	269	13.7%
A	263	13.4%
I	203	10.3%
S	159	8.1%
D	125	6.3%
G	98	5.0%
Z	87	4.4%
M	86	4.4%
R	78	4.0%
Other values (7)	316	16.0%

venue
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

Bellerive Oval, Hobart	136
Sydney Cricket Ground	118
Adelaide Oval	114
Simonds Stadium, South Geelong, Victoria	108
Perth Stadium	85
Other values (2)	138

Length

Max length	48
Median length	24
Mean length	24.745351
Min length	13

Characters and Unicode

Total characters	17297
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Melbourne Cricket Ground
2nd row	Melbourne Cricket Ground
3rd row	Melbourne Cricket Ground
4th row	Melbourne Cricket Ground
5th row	Melbourne Cricket Ground

Common Values

Value	Count	Frequency (%)
Bellerive Oval, Hobart	136	19.5%
Sydney Cricket Ground	118	16.9%
Adelaide Oval	114	16.3%
Simonds Stadium, South Geelong, Victoria	108	15.5%
Perth Stadium	85	12.2%
Melbourne Cricket Ground	71	10.2%
Brisbane Cricket Ground, Woolloongabba, Brisbane	67	9.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
cricket	256	11.4%
ground	256	11.4%
oval	250	11.1%
stadium	193	8.6%
bellerive	136	6.0%
hobart	136	6.0%
brisbane	134	6.0%
sydney	118	5.2%
adelaide	114	5.1%
simonds	108	4.8%
Other values (6)	547	24.3%

Most occurring characters

Value	Count	Frequency (%)
e	1587	9.2%
	1549	9.0%
r	1182	6.8%
o	1163	6.7%
i	1157	6.7%
a	1069	6.2%
l	949	5.5%
d	903	5.2%
t	886	5.1%
n	862	5.0%
Other values (22)	5990	34.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13014	75.2%
Uppercase Letter	2248	13.0%
Space Separator	1549	9.0%
Other Punctuation	486	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1587	12.2%
r	1182	9.1%
o	1163	8.9%
i	1157	8.9%
a	1069	8.2%
l	949	7.3%
d	903	6.9%
t	886	6.8%
n	862	6.6%
u	628	4.8%
Other values (9)	2628	20.2%

Uppercase Letter

Value	Count	Frequency (%)
S	527	23.4%
G	364	16.2%
B	270	12.0%
C	256	11.4%
O	250	11.1%
H	136	6.0%
A	114	5.1%
V	108	4.8%
P	85	3.8%
M	71	3.2%

Space Separator

Value	Count	Frequency (%)
	1549	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	486	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15262	88.2%
Common	2035	11.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1587	10.4%
r	1182	7.7%
o	1163	7.6%
i	1157	7.6%
a	1069	7.0%
l	949	6.2%
d	903	5.9%
t	886	5.8%
n	862	5.6%
u	628	4.1%
Other values (20)	4876	31.9%

Common

Value	Count	Frequency (%)
	1549	76.1%
,	486	23.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17297	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1587	9.2%
	1549	9.0%
r	1182	6.8%
o	1163	6.7%
i	1157	6.7%
a	1069	6.2%
l	949	5.5%
d	903	5.2%
t	886	5.1%
n	862	5.0%
Other values (22)	5990	34.6%

city
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

Hobart	136
Sydney	118
Adelaide	114
Geelong	108
Perth	85
Other values (2)	138

Length

Max length	9
Median length	8
Mean length	6.8555079
Min length	5

Characters and Unicode

Total characters	4792
Distinct characters	22
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Melbourne
2nd row	Melbourne
3rd row	Melbourne
4th row	Melbourne
5th row	Melbourne

Common Values

Value	Count	Frequency (%)
Hobart	136	19.5%
Sydney	118	16.9%
Adelaide	114	16.3%
Geelong	108	15.5%
Perth	85	12.2%
Melbourne	71	10.2%
Brisbane	67	9.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
hobart	136	19.5%
sydney	118	16.9%
adelaide	114	16.3%
geelong	108	15.5%
perth	85	12.2%
melbourne	71	10.2%
brisbane	67	9.6%

Most occurring characters

Value	Count	Frequency (%)
e	856	17.9%
n	364	7.6%
r	359	7.5%
d	346	7.2%
a	317	6.6%
o	315	6.6%
l	293	6.1%
b	274	5.7%
y	236	4.9%
t	221	4.6%
Other values (12)	1211	25.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4093	85.4%
Uppercase Letter	699	14.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	856	20.9%
n	364	8.9%
r	359	8.8%
d	346	8.5%
a	317	7.7%
o	315	7.7%
l	293	7.2%
b	274	6.7%
y	236	5.8%
t	221	5.4%
Other values (5)	512	12.5%

Uppercase Letter

Value	Count	Frequency (%)
H	136	19.5%
S	118	16.9%
A	114	16.3%
G	108	15.5%
P	85	12.2%
M	71	10.2%
B	67	9.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4792	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	856	17.9%
n	364	7.6%
r	359	7.5%
d	346	7.2%
a	317	6.6%
o	315	6.6%
l	293	6.1%
b	274	5.7%
y	236	4.9%
t	221	4.6%
Other values (12)	1211	25.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4792	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	856	17.9%
n	364	7.6%
r	359	7.5%
d	346	7.2%
a	317	6.6%
o	315	6.6%
l	293	6.1%
b	274	5.7%
y	236	4.9%
t	221	4.6%
Other values (12)	1211	25.3%

country
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

Australia	699

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	6291
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Australia
2nd row	Australia
3rd row	Australia
4th row	Australia
5th row	Australia

Common Values

Value	Count	Frequency (%)
Australia	699	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
australia	699	100.0%

Most occurring characters

Value	Count	Frequency (%)
a	1398	22.2%
A	699	11.1%
u	699	11.1%
s	699	11.1%
t	699	11.1%
r	699	11.1%
l	699	11.1%
i	699	11.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5592	88.9%
Uppercase Letter	699	11.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1398	25.0%
u	699	12.5%
s	699	12.5%
t	699	12.5%
r	699	12.5%
l	699	12.5%
i	699	12.5%

Uppercase Letter

Value	Count	Frequency (%)
A	699	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6291	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1398	22.2%
A	699	11.1%
u	699	11.1%
s	699	11.1%
t	699	11.1%
r	699	11.1%
l	699	11.1%
i	699	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6291	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1398	22.2%
A	699	11.1%
u	699	11.1%
s	699	11.1%
t	699	11.1%
r	699	11.1%
l	699	11.1%
i	699	11.1%

current_innings
Categorical

HIGH CORRELATION

Distinct	16
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

ZIM	74
NED	73
SL	66
IRE	63
PAK	57
Other values (11)	366

Length

Max length	5
Median length	3
Mean length	2.9213162
Min length	2

Characters and Unicode

Total characters	2042
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PAK
2nd row	PAK
3rd row	PAK
4th row	PAK
5th row	PAK

Common Values

Value	Count	Frequency (%)
ZIM	74	10.6%
NED	73	10.4%
SL	66	9.4%
IRE	63	9.0%
PAK	57	8.2%
BAN	47	6.7%
INDIA	45	6.4%
ENG	39	5.6%
SA	37	5.3%
NZ	36	5.2%
Other values (6)	162	23.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
zim	74	10.6%
ned	73	10.4%
sl	66	9.4%
ire	63	9.0%
pak	57	8.2%
ban	47	6.7%
india	45	6.4%
eng	39	5.6%
sa	37	5.3%
nz	36	5.2%
Other values (6)	162	23.2%

Most occurring characters

Value	Count	Frequency (%)
A	300	14.7%
N	266	13.0%
I	254	12.4%
E	201	9.8%
S	157	7.7%
D	118	5.8%
Z	110	5.4%
M	100	4.9%
G	68	3.3%
L	66	3.2%
Other values (10)	402	19.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2042	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	300	14.7%
N	266	13.0%
I	254	12.4%
E	201	9.8%
S	157	7.7%
D	118	5.8%
Z	110	5.4%
M	100	4.9%
G	68	3.3%
L	66	3.2%
Other values (10)	402	19.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2042	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	300	14.7%
N	266	13.0%
I	254	12.4%
E	201	9.8%
S	157	7.7%
D	118	5.8%
Z	110	5.4%
M	100	4.9%
G	68	3.3%
L	66	3.2%
Other values (10)	402	19.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2042	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	300	14.7%
N	266	13.0%
I	254	12.4%
E	201	9.8%
S	157	7.7%
D	118	5.8%
Z	110	5.4%
M	100	4.9%
G	68	3.3%
L	66	3.2%
Other values (10)	402	19.7%

innings_id
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

1	351
2	348

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	699
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	351	50.2%
2	348	49.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	351	50.2%
2	348	49.8%

Most occurring characters

Value	Count	Frequency (%)
1	351	50.2%
2	348	49.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	699	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	351	50.2%
2	348	49.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	699	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	351	50.2%
2	348	49.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	699	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	351	50.2%
2	348	49.8%

name
Text

Distinct	198
Distinct (%)	28.3%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

Length

Max length	21
Median length	18
Mean length	10.676681
Min length	6

Characters and Unicode

Total characters	7463
Distinct characters	58
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39 ?
Unique (%)	5.6%

Sample

1st row	Mohammad Rizwan
2nd row	Babar Azam
3rd row	Mohammad Haris
4th row	Shan Masood
5th row	Iftikhar Ahmed

Value	Count	Frequency (%)
de	27	1.8%
mohammad	22	1.5%
van	16	1.1%
hossain	15	1.0%
silva	14	1.0%
sa	14	1.0%
hasan	13	0.9%
m	13	0.9%
r	13	0.9%
c	13	0.9%
Other values (332)	1305	89.1%

Most occurring characters

Value	Count	Frequency (%)
a	893	12.0%
	766	10.3%
e	398	5.3%
i	368	4.9%
n	362	4.9%
r	336	4.5%
s	267	3.6%
h	266	3.6%
l	255	3.4%
d	233	3.1%
Other values (48)	3319	44.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4752	63.7%
Uppercase Letter	1908	25.6%
Space Separator	766	10.3%
Close Punctuation	8	0.1%
Open Punctuation	8	0.1%
Other Punctuation	8	0.1%
Decimal Number	8	0.1%
Dash Punctuation	5	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	893	18.8%
e	398	8.4%
i	368	7.7%
n	362	7.6%
r	336	7.1%
s	267	5.6%
h	266	5.6%
l	255	5.4%
d	233	4.9%
o	226	4.8%
Other values (16)	1148	24.2%

Uppercase Letter

Value	Count	Frequency (%)
M	208	10.9%
S	195	10.2%
A	159	8.3%
R	138	7.2%
C	117	6.1%
B	107	5.6%
H	106	5.6%
D	101	5.3%
J	100	5.2%
P	100	5.2%
Other values (15)	577	30.2%

Decimal Number

Value	Count	Frequency (%)
3	5	62.5%
1	3	37.5%

Space Separator

Value	Count	Frequency (%)
	766	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	8	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	8	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	8	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6660	89.2%
Common	803	10.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	893	13.4%
e	398	6.0%
i	368	5.5%
n	362	5.4%
r	336	5.0%
s	267	4.0%
h	266	4.0%
l	255	3.8%
d	233	3.5%
o	226	3.4%
Other values (41)	3056	45.9%

Common

Value	Count	Frequency (%)
	766	95.4%
)	8	1.0%
(	8	1.0%
'	8	1.0%
3	5	0.6%
-	5	0.6%
1	3	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7463	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	893	12.0%
	766	10.3%
e	398	5.3%
i	368	4.9%
n	362	4.9%
r	336	4.5%
s	267	3.6%
h	266	3.6%
l	255	3.4%
d	233	3.1%
Other values (48)	3319	44.5%

fullName
Text

Distinct	198
Distinct (%)	28.3%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

Length

Max length	26
Median length	20
Mean length	13.416309
Min length	7

Characters and Unicode

Total characters	9378
Distinct characters	54
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39 ?
Unique (%)	5.6%

Sample

1st row	Mohammad Rizwan
2nd row	Babar Azam
3rd row	Mohammad Haris
4th row	Shan Masood
5th row	Iftikhar Ahmed

Value	Count	Frequency (%)
de	27	1.8%
mohammad	22	1.5%
van	16	1.1%
hossain	15	1.0%
silva	14	0.9%
hasan	13	0.9%
ahmed	12	0.8%
khan	12	0.8%
mitchell	12	0.8%
david	12	0.8%
Other values (347)	1319	89.5%

Most occurring characters

Value	Count	Frequency (%)
a	1292	13.8%
	775	8.3%
n	614	6.5%
e	597	6.4%
i	577	6.2%
r	505	5.4%
h	416	4.4%
s	387	4.1%
l	375	4.0%
o	350	3.7%
Other values (44)	3490	37.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7136	76.1%
Uppercase Letter	1454	15.5%
Space Separator	775	8.3%
Other Punctuation	8	0.1%
Dash Punctuation	5	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1292	18.1%
n	614	8.6%
e	597	8.4%
i	577	8.1%
r	505	7.1%
h	416	5.8%
s	387	5.4%
l	375	5.3%
o	350	4.9%
d	301	4.2%
Other values (16)	1722	24.1%

Uppercase Letter

Value	Count	Frequency (%)
M	177	12.2%
S	168	11.6%
A	118	8.1%
R	100	6.9%
C	95	6.5%
B	87	6.0%
H	81	5.6%
D	76	5.2%
K	73	5.0%
L	66	4.5%
Other values (15)	413	28.4%

Space Separator

Value	Count	Frequency (%)
	775	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	8	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8590	91.6%
Common	788	8.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1292	15.0%
n	614	7.1%
e	597	6.9%
i	577	6.7%
r	505	5.9%
h	416	4.8%
s	387	4.5%
l	375	4.4%
o	350	4.1%
d	301	3.5%
Other values (41)	3176	37.0%

Common

Value	Count	Frequency (%)
	775	98.4%
'	8	1.0%
-	5	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9378	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1292	13.8%
	775	8.3%
n	614	6.5%
e	597	6.4%
i	577	6.2%
r	505	5.4%
h	416	4.4%
s	387	4.1%
l	375	4.0%
o	350	3.7%
Other values (44)	3490	37.2%

runs
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	78
Distinct (%)	11.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.978541

Minimum	0
Maximum	109
Zeros	82
Zeros (%)	11.7%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	9
Q3	22.5
95-th percentile	59
Maximum	109
Range	109
Interquartile range (IQR)	20.5

Descriptive statistics

Standard deviation	18.709462
Coefficient of variation (CV)	1.1709118
Kurtosis	3.1761447
Mean	15.978541
Median Absolute Deviation (MAD)	8
Skewness	1.760889
Sum	11169
Variance	350.04395
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	82	11.7%
1	60	8.6%
4	38	5.4%
2	35	5.0%
3	28	4.0%
5	28	4.0%
6	27	3.9%
7	23	3.3%
9	21	3.0%
8	21	3.0%
Other values (68)	336	48.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	82	11.7%
1	60	8.6%
2	35	5.0%
3	28	4.0%
4	38	5.4%
5	28	4.0%
6	27	3.9%
7	23	3.3%
8	21	3.0%
9	21	3.0%

Value	Count	Frequency (%)
109	1	0.1%
104	1	0.1%
92	1	0.1%
86	2	0.3%
82	2	0.3%
80	1	0.1%
79	1	0.1%
74	1	0.1%
73	1	0.1%
72	1	0.1%

ballsFaced
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	58
Distinct (%)	8.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.648069

Minimum	0
Maximum	64
Zeros	11
Zeros (%)	1.6%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	4
median	10
Q3	19
95-th percentile	42
Maximum	64
Range	64
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	12.716854
Coefficient of variation (CV)	0.93176949
Kurtosis	1.5262267
Mean	13.648069
Median Absolute Deviation (MAD)	7
Skewness	1.3939557
Sum	9540
Variance	161.71837
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	53	7.6%
2	45	6.4%
3	43	6.2%
6	41	5.9%
5	38	5.4%
4	36	5.2%
8	34	4.9%
7	27	3.9%
11	26	3.7%
18	25	3.6%
Other values (48)	331	47.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	11	1.6%
1	53	7.6%
2	45	6.4%
3	43	6.2%
4	36	5.2%
5	38	5.4%
6	41	5.9%
7	27	3.9%
8	34	4.9%
9	21	3.0%

Value	Count	Frequency (%)
64	1	0.1%
60	1	0.1%
58	1	0.1%
56	1	0.1%
55	2	0.3%
54	1	0.1%
53	3	0.4%
51	1	0.1%
49	2	0.3%
48	7	1.0%

minutes
Text

Distinct	90
Distinct (%)	12.9%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

Length

Max length	3
Median length	2
Mean length	1.6824034
Min length	1

Characters and Unicode

Total characters	1176
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	2.9%

Sample

1st row	24
2nd row	58
3rd row	15
4th row	46
5th row	8

Value	Count	Frequency (%)
3	37	5.3%
4	33	4.7%
8	29	4.1%
6	28	4.0%
9	27	3.9%
12	24	3.4%
10	23	3.3%
2	23	3.3%
11	22	3.1%
7	22	3.1%
Other values (80)	431	61.7%

Most occurring characters

Value	Count	Frequency (%)
1	245	20.8%
2	183	15.6%
3	152	12.9%
4	121	10.3%
6	89	7.6%
7	88	7.5%
5	83	7.1%
8	80	6.8%
0	68	5.8%
9	66	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1175	99.9%
Dash Punctuation	1	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	245	20.9%
2	183	15.6%
3	152	12.9%
4	121	10.3%
6	89	7.6%
7	88	7.5%
5	83	7.1%
8	80	6.8%
0	68	5.8%
9	66	5.6%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1176	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	245	20.8%
2	183	15.6%
3	152	12.9%
4	121	10.3%
6	89	7.6%
7	88	7.5%
5	83	7.1%
8	80	6.8%
0	68	5.8%
9	66	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1176	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	245	20.8%
2	183	15.6%
3	152	12.9%
4	121	10.3%
6	89	7.6%
7	88	7.5%
5	83	7.1%
8	80	6.8%
0	68	5.8%
9	66	5.6%

fours
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	11
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3004292

Minimum	0
Maximum	10
Zeros	338
Zeros (%)	48.4%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	5.1
Maximum	10
Range	10
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8344483
Coefficient of variation (CV)	1.4106483
Kurtosis	3.48308
Mean	1.3004292
Median Absolute Deviation (MAD)	1
Skewness	1.8502902
Sum	909
Variance	3.3652004
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	338	48.4%
1	141	20.2%
2	83	11.9%
3	66	9.4%
4	21	3.0%
5	15	2.1%
7	14	2.0%
6	13	1.9%
8	4	0.6%
9	3	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	338	48.4%
1	141	20.2%
2	83	11.9%
3	66	9.4%
4	21	3.0%
5	15	2.1%
6	13	1.9%
7	14	2.0%
8	4	0.6%
9	3	0.4%

Value	Count	Frequency (%)
10	1	0.1%
9	3	0.4%
8	4	0.6%
7	14	2.0%
6	13	1.9%
5	15	2.1%
4	21	3.0%
3	66	9.4%
2	83	11.9%
1	141	20.2%

sixes
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	9
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.47353362

Minimum	0
Maximum	8
Zeros	502
Zeros (%)	71.8%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.97846466
Coefficient of variation (CV)	2.0663045
Kurtosis	12.575237
Mean	0.47353362
Median Absolute Deviation (MAD)	0
Skewness	3.0697125
Sum	331
Variance	0.95739308
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	502	71.8%
1	125	17.9%
2	38	5.4%
3	19	2.7%
4	8	1.1%
5	4	0.6%
7	1	0.1%
8	1	0.1%
6	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	502	71.8%
1	125	17.9%
2	38	5.4%
3	19	2.7%
4	8	1.1%
5	4	0.6%
6	1	0.1%
7	1	0.1%
8	1	0.1%

Value	Count	Frequency (%)
8	1	0.1%
7	1	0.1%
6	1	0.1%
5	4	0.6%
4	8	1.1%
3	19	2.7%
2	38	5.4%
1	125	17.9%
0	502	71.8%

strikeRate
Text

Distinct	240
Distinct (%)	34.3%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

Length

Max length	6
Median length	6
Mean length	5.3705293
Min length	1

Characters and Unicode

Total characters	3754
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	158 ?
Unique (%)	22.6%

Sample

1st row	107.14
2nd row	114.28
3rd row	66.66
4th row	135.71
5th row	0.00

Value	Count	Frequency (%)
0.00	71	10.2%
100.00	69	9.9%
50.00	35	5.0%
66.66	18	2.6%
33.33	15	2.1%
133.33	14	2.0%
75.00	14	2.0%
200.00	12	1.7%
150.00	12	1.7%
	11	1.6%
Other values (230)	428	61.2%

Most occurring characters

Value	Count	Frequency (%)
0	1076	28.7%
.	688	18.3%
1	478	12.7%
3	267	7.1%
6	255	6.8%
5	239	6.4%
2	210	5.6%
8	162	4.3%
7	151	4.0%
4	147	3.9%
Other values (2)	81	2.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3055	81.4%
Other Punctuation	688	18.3%
Dash Punctuation	11	0.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1076	35.2%
1	478	15.6%
3	267	8.7%
6	255	8.3%
5	239	7.8%
2	210	6.9%
8	162	5.3%
7	151	4.9%
4	147	4.8%
9	70	2.3%

Other Punctuation

Value	Count	Frequency (%)
.	688	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3754	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1076	28.7%
.	688	18.3%
1	478	12.7%
3	267	7.1%
6	255	6.8%
5	239	6.4%
2	210	5.6%
8	162	4.3%
7	151	4.0%
4	147	3.9%
Other values (2)	81	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3754	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1076	28.7%
.	688	18.3%
1	478	12.7%
3	267	7.1%
6	255	6.8%
5	239	6.4%
2	210	5.6%
8	162	4.3%
7	151	4.0%
4	147	3.9%
Other values (2)	81	2.2%

captain
Boolean

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	831.0 B

False	616
True	83

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	616	88.1%
True	83	11.9%

isNotOut
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	831.0 B

False	555
True	144

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	555	79.4%
True	144	20.6%

runningScore
Text

Distinct	426
Distinct (%)	60.9%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

Length

Max length	28
Median length	27
Mean length	21.316166
Min length	2

Characters and Unicode

Total characters	14900
Distinct characters	26
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	328 ?
Unique (%)	46.9%

Sample

1st row	{'wickets': 1, 'runs': 29}
2nd row	{'wickets': 3, 'runs': 84}
3rd row	{'wickets': 2, 'runs': 45}
4th row	{'wickets': 5, 'runs': 121}
5th row	{'wickets': 4, 'runs': 85}

Value	Count	Frequency (%)
runs	555	23.5%
wickets	555	23.5%
	144	6.1%
1	86	3.6%
2	84	3.6%
4	81	3.4%
3	81	3.4%
5	73	3.1%
6	58	2.5%
7	48	2.0%
Other values (161)	599	25.3%

Most occurring characters

Value	Count	Frequency (%)
'	2220	14.9%
	1665	11.2%
s	1110	7.4%
:	1110	7.4%
{	699	4.7%
}	699	4.7%
n	555	3.7%
u	555	3.7%
r	555	3.7%
,	555	3.7%
Other values (16)	5177	34.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6105	41.0%
Other Punctuation	3885	26.1%
Decimal Number	1847	12.4%
Space Separator	1665	11.2%
Open Punctuation	699	4.7%
Close Punctuation	699	4.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	1110	18.2%
n	555	9.1%
u	555	9.1%
r	555	9.1%
t	555	9.1%
e	555	9.1%
k	555	9.1%
c	555	9.1%
i	555	9.1%
w	555	9.1%

Decimal Number

Value	Count	Frequency (%)
1	443	24.0%
2	217	11.7%
3	177	9.6%
6	165	8.9%
4	164	8.9%
5	160	8.7%
7	141	7.6%
9	139	7.5%
0	128	6.9%
8	113	6.1%

Other Punctuation

Value	Count	Frequency (%)
'	2220	57.1%
:	1110	28.6%
,	555	14.3%

Space Separator

Value	Count	Frequency (%)
	1665	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	699	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	699	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8795	59.0%
Latin	6105	41.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
'	2220	25.2%
	1665	18.9%
:	1110	12.6%
{	699	7.9%
}	699	7.9%
,	555	6.3%
1	443	5.0%
2	217	2.5%
3	177	2.0%
6	165	1.9%
Other values (6)	845	9.6%

Latin

Value	Count	Frequency (%)
s	1110	18.2%
n	555	9.1%
u	555	9.1%
r	555	9.1%
t	555	9.1%
e	555	9.1%
k	555	9.1%
c	555	9.1%
i	555	9.1%
w	555	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14900	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	2220	14.9%
	1665	11.2%
s	1110	7.4%
:	1110	7.4%
{	699	4.7%
}	699	4.7%
n	555	3.7%
u	555	3.7%
r	555	3.7%
,	555	3.7%
Other values (16)	5177	34.7%

runningOver
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	119
Distinct (%)	21.4%
Missing	144
Missing (%)	20.6%
Infinite	0
Infinite (%)	0.0%
Mean	11.198378

Minimum	0.1
Maximum	19.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	0.1
5-th percentile	1.4
Q1	5.6
median	12.3
Q3	16.35
95-th percentile	19.33
Maximum	19.6
Range	19.5
Interquartile range (IQR)	10.75

Descriptive statistics

Standard deviation	5.9454968
Coefficient of variation (CV)	0.5309248
Kurtosis	-1.2204451
Mean	11.198378
Median Absolute Deviation (MAD)	5
Skewness	-0.29101911
Sum	6215.1
Variance	35.348932
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16.3	11	1.6%
19.6	11	1.6%
12.2	10	1.4%
2.4	10	1.4%
19.5	10	1.4%
19.2	10	1.4%
13.3	9	1.3%
18.2	9	1.3%
3.2	8	1.1%
12.4	8	1.1%
Other values (109)	459	65.7%
(Missing)	144	20.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1	2	0.3%
0.2	4	0.6%
0.3	3	0.4%
0.4	2	0.3%
0.5	1	0.1%
0.6	4	0.6%
1.1	5	0.7%
1.2	2	0.3%
1.3	4	0.6%
1.4	5	0.7%

Value	Count	Frequency (%)
19.6	11	1.6%
19.5	10	1.4%
19.4	7	1.0%
19.3	6	0.9%
19.2	10	1.4%
19.1	3	0.4%
19	1	0.1%
18.6	6	0.9%
18.5	4	0.6%
18.4	7	1.0%

shortText
Text

Distinct	435
Distinct (%)	62.2%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

Length

Max length	51
Median length	41
Mean length	18.423462
Min length	7

Characters and Unicode

Total characters	12878
Distinct characters	60
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	350 ?
Unique (%)	50.1%

Sample

1st row	b Curran
2nd row	c & b Rashid
3rd row	c Stokes b Rashid
4th row	c Livingstone b Curran
5th row	c &dagger;Buttler b Stokes

Value	Count	Frequency (%)
b	515	19.5%
c	372	14.1%
out	183	6.9%
not	144	5.5%
de	43	1.6%
run	39	1.5%
lbw	35	1.3%
van	31	1.2%
silva	26	1.0%
khan	25	0.9%
Other values (260)	1222	46.4%

Most occurring characters

Value	Count	Frequency (%)
	2033	15.8%
a	1325	10.3%
e	733	5.7%
n	663	5.1%
b	644	5.0%
o	636	4.9%
r	563	4.4%
t	545	4.2%
d	467	3.6%
u	454	3.5%
Other values (50)	4815	37.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9174	71.2%
Space Separator	2033	15.8%
Uppercase Letter	1319	10.2%
Other Punctuation	241	1.9%
Open Punctuation	50	0.4%
Close Punctuation	50	0.4%
Dash Punctuation	11	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1325	14.4%
e	733	8.0%
n	663	7.2%
b	644	7.0%
o	636	6.9%
r	563	6.1%
t	545	5.9%
d	467	5.1%
u	454	4.9%
i	431	4.7%
Other values (16)	2713	29.6%

Uppercase Letter

Value	Count	Frequency (%)
S	217	16.5%
M	166	12.6%
A	104	7.9%
H	95	7.2%
R	81	6.1%
W	81	6.1%
K	75	5.7%
C	67	5.1%
N	65	4.9%
L	59	4.5%
Other values (14)	309	23.4%

Other Punctuation

Value	Count	Frequency (%)
;	107	44.4%
&	107	44.4%
/	24	10.0%
'	3	1.2%

Open Punctuation

Value	Count	Frequency (%)
(	49	98.0%
[	1	2.0%

Close Punctuation

Value	Count	Frequency (%)
)	49	98.0%
]	1	2.0%

Space Separator

Value	Count	Frequency (%)
	2033	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10493	81.5%
Common	2385	18.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1325	12.6%
e	733	7.0%
n	663	6.3%
b	644	6.1%
o	636	6.1%
r	563	5.4%
t	545	5.2%
d	467	4.5%
u	454	4.3%
i	431	4.1%
Other values (40)	4032	38.4%

Common

Value	Count	Frequency (%)
	2033	85.2%
;	107	4.5%
&	107	4.5%
(	49	2.1%
)	49	2.1%
/	24	1.0%
-	11	0.5%
'	3	0.1%
[	1	< 0.1%
]	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12878	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2033	15.8%
a	1325	10.3%
e	733	5.7%
n	663	5.1%
b	644	5.0%
o	636	4.9%
r	563	4.4%
t	545	4.2%
d	467	3.6%
u	454	3.5%
Other values (50)	4815	37.4%

commentary
Text

MISSING

Distinct	555
Distinct (%)	100.0%
Missing	144
Missing (%)	20.6%
Memory size	5.6 KiB

Length

Max length	782
Median length	352
Mean length	277.09369
Min length	67

Characters and Unicode

Total characters	153787
Distinct characters	79
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	555 ?
Unique (%)	100.0%

Sample

1st row	bowled him, Rizwan's dragged on! Fullish, slanting into a wide-ish line, inviting the cover drive. Nips back in off the pitch, and Rizwan, going hard with a diagonal bat, can only get his inside edge to it
2nd row	<B>caught and bowled!</B> That's the vital scalp, and Rashid has bagged it! it's another googly, another big wind-up from Babar, looking to take it on in the second half of the innings, but the ball gripped and turned back into his attempted cut/slash through the off-side, and looped back to the bowler off the splice! Huge turning point
3rd row	and he strikes first ball! #MCGsobig strikes again. Tossed up fairly slow, and Haris steps out and tries to take on Stokes, who seems to be stationed a good few yards inside the rope at long-on. Can't really middle it, and Stokes moves in a little more to take a straightforward catch
4th row	<B>flicked in the air to Livingstone at midwicket!</B> Don't play roulette with Sam Curran! Masood shimmied to leg, tempting Curran to reconsider his options, he simply bowled his best ball, shaping away on a tight off-stump line, and the lofted cross-bat clip didn't have enough on it. A simple take in the deep, and Dr Death has done the trick once more...
5th row	<B>nibbles outside off, thin edge to Buttler!</B> Line and length from Stokes, extra lift off the seam, a thin but audible nick and that's a huge five minutes for the balance of play! More evidence, though, that this pitch is offering plenty to the seamers... and Pakistan have plenty of those!

Value	Count	Frequency (%)
the	1728	6.3%
to	1031	3.8%
and	983	3.6%
a	782	2.8%
it	570	2.1%
on	428	1.6%
but	409	1.5%
off	374	1.4%
in	353	1.3%
ball	352	1.3%
Other values (3525)	20454	74.5%

Most occurring characters

Value	Count	Frequency (%)
	26910	17.5%
e	12310	8.0%
t	11962	7.8%
a	9538	6.2%
o	9123	5.9%
s	7962	5.2%
i	7734	5.0%
n	7700	5.0%
h	6916	4.5%
r	5949	3.9%
Other values (69)	47683	31.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	116664	75.9%
Space Separator	26910	17.5%
Other Punctuation	4401	2.9%
Uppercase Letter	3258	2.1%
Math Symbol	1890	1.2%
Dash Punctuation	386	0.3%
Decimal Number	276	0.2%
Close Punctuation	1	< 0.1%
Open Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	12310	10.6%
t	11962	10.3%
a	9538	8.2%
o	9123	7.8%
s	7962	6.8%
i	7734	6.6%
n	7700	6.6%
h	6916	5.9%
r	5949	5.1%
l	5586	4.8%
Other values (17)	31884	27.3%

Uppercase Letter

Value	Count	Frequency (%)
B	340	10.4%
S	334	10.3%
T	311	9.5%
A	246	7.6%
H	192	5.9%
M	182	5.6%
C	171	5.2%
W	169	5.2%
I	153	4.7%
N	147	4.5%
Other values (15)	1013	31.1%

Other Punctuation

Value	Count	Frequency (%)
.	1488	33.8%
,	1378	31.3%
!	506	11.5%
/	490	11.1%
'	483	11.0%
?	40	0.9%
:	4	0.1%
"	4	0.1%
#	4	0.1%
;	2	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	75	27.2%
0	46	16.7%
4	32	11.6%
2	30	10.9%
5	23	8.3%
3	23	8.3%
8	15	5.4%
9	12	4.3%
6	12	4.3%
7	8	2.9%

Math Symbol

Value	Count	Frequency (%)
>	945	50.0%
<	945	50.0%

Space Separator

Value	Count	Frequency (%)
	26910	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	386	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	119922	78.0%
Common	33865	22.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	12310	10.3%
t	11962	10.0%
a	9538	8.0%
o	9123	7.6%
s	7962	6.6%
i	7734	6.4%
n	7700	6.4%
h	6916	5.8%
r	5949	5.0%
l	5586	4.7%
Other values (42)	35142	29.3%

Common

Value	Count	Frequency (%)
	26910	79.5%
.	1488	4.4%
,	1378	4.1%
>	945	2.8%
<	945	2.8%
!	506	1.5%
/	490	1.4%
'	483	1.4%
-	386	1.1%
1	75	0.2%
Other values (17)	259	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	153786	> 99.9%
None	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26910	17.5%
e	12310	8.0%
t	11962	7.8%
a	9538	6.2%
o	9123	5.9%
s	7962	5.2%
i	7734	5.0%
n	7700	5.0%
h	6916	4.5%
r	5949	3.9%
Other values (68)	47682	31.0%

None

Value	Count	Frequency (%)
à	1	100.0%

link
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	699
Missing (%)	100.0%
Memory size	5.6 KiB

Auto

Heatmap
Table

	match_id	runs	ballsFaced	fours	sixes	runningOver	match_name	home_team	away_team	venue	city	current_innings	innings_id	captain	isNotOut
match_id	1.000	0.036	0.011	0.067	0.055	0.077	0.977	0.588	0.549	0.590	0.590	0.338	0.000	0.000	0.000
runs	0.036	1.000	0.935	0.821	0.639	0.135	0.066	0.000	0.028	0.038	0.038	0.037	0.000	0.000	0.143
ballsFaced	0.011	0.935	1.000	0.733	0.544	0.093	0.059	0.000	0.045	0.000	0.000	0.072	0.000	0.078	0.121
fours	0.067	0.821	0.733	1.000	0.433	0.035	0.093	0.000	0.000	0.032	0.032	0.009	0.000	0.000	0.152
sixes	0.055	0.639	0.544	0.433	1.000	0.084	0.103	0.051	0.080	0.000	0.000	0.055	0.076	0.066	0.115
runningOver	0.077	0.135	0.093	0.035	0.084	1.000	0.000	0.000	0.000	0.026	0.026	0.000	0.229	0.059	1.000
match_name	0.977	0.066	0.059	0.093	0.103	0.000	1.000	0.981	0.980	0.974	0.974	0.661	0.000	0.000	0.000
home_team	0.588	0.000	0.000	0.000	0.051	0.000	0.981	1.000	0.610	0.687	0.687	0.558	0.000	0.000	0.000
away_team	0.549	0.028	0.045	0.000	0.080	0.000	0.980	0.610	1.000	0.589	0.589	0.537	0.000	0.000	0.000
venue	0.590	0.038	0.000	0.032	0.000	0.026	0.974	0.687	0.589	1.000	1.000	0.492	0.055	0.000	0.000
city	0.590	0.038	0.000	0.032	0.000	0.026	0.974	0.687	0.589	1.000	1.000	0.492	0.055	0.000	0.000
current_innings	0.338	0.037	0.072	0.009	0.055	0.000	0.661	0.558	0.537	0.492	0.492	1.000	0.380	0.000	0.000
innings_id	0.000	0.000	0.000	0.000	0.076	0.229	0.000	0.000	0.000	0.055	0.055	0.380	1.000	0.000	0.000
captain	0.000	0.000	0.078	0.000	0.066	0.059	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.098
isNotOut	0.000	0.143	0.121	0.152	0.115	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.098	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	season	match_id	match_name	home_team	away_team	venue	city	country	current_innings	innings_id	name	fullName	runs	ballsFaced	minutes	fours	sixes	strikeRate	captain	isNotOut	runningScore	runningOver	shortText	commentary	link
0	2022	1298179	ENG v PAK	PAK	ENG	Melbourne Cricket Ground	Melbourne	Australia	PAK	1	Mohammad Rizwan	Mohammad Rizwan	15	14	24	0	1	107.14	False	False	{'wickets': 1, 'runs': 29}	4.2	b Curran	bowled him, Rizwan's dragged on! Fullish, slanting into a wide-ish line, inviting the cover drive. Nips back in off the pitch, and Rizwan, going hard with a diagonal bat, can only get his inside edge to it	NaN
1	2022	1298179	ENG v PAK	PAK	ENG	Melbourne Cricket Ground	Melbourne	Australia	PAK	1	Babar Azam	Babar Azam	32	28	58	2	0	114.28	True	False	{'wickets': 3, 'runs': 84}	11.1	c & b Rashid	<B>caught and bowled!</B> That's the vital scalp, and Rashid has bagged it! it's another googly, another big wind-up from Babar, looking to take it on in the second half of the innings, but the ball gripped and turned back into his attempted cut/slash through the off-side, and looped back to the bowler off the splice! Huge turning point	NaN
2	2022	1298179	ENG v PAK	PAK	ENG	Melbourne Cricket Ground	Melbourne	Australia	PAK	1	Mohammad Haris	Mohammad Haris	8	12	15	1	0	66.66	False	False	{'wickets': 2, 'runs': 45}	7.1	c Stokes b Rashid	and he strikes first ball! #MCGsobig strikes again. Tossed up fairly slow, and Haris steps out and tries to take on Stokes, who seems to be stationed a good few yards inside the rope at long-on. Can't really middle it, and Stokes moves in a little more to take a straightforward catch	NaN
3	2022	1298179	ENG v PAK	PAK	ENG	Melbourne Cricket Ground	Melbourne	Australia	PAK	1	Shan Masood	Shan Masood	38	28	46	2	1	135.71	False	False	{'wickets': 5, 'runs': 121}	16.3	c Livingstone b Curran	<B>flicked in the air to Livingstone at midwicket!</B> Don't play roulette with Sam Curran! Masood shimmied to leg, tempting Curran to reconsider his options, he simply bowled his best ball, shaping away on a tight off-stump line, and the lofted cross-bat clip didn't have enough on it. A simple take in the deep, and Dr Death has done the trick once more...	NaN
4	2022	1298179	ENG v PAK	PAK	ENG	Melbourne Cricket Ground	Melbourne	Australia	PAK	1	Iftikhar Ahmed	Iftikhar Ahmed	0	6	8	0	0	0.00	False	False	{'wickets': 4, 'runs': 85}	12.2	c &dagger;Buttler b Stokes	<B>nibbles outside off, thin edge to Buttler!</B> Line and length from Stokes, extra lift off the seam, a thin but audible nick and that's a huge five minutes for the balance of play! More evidence, though, that this pitch is offering plenty to the seamers... and Pakistan have plenty of those!	NaN
5	2022	1298179	ENG v PAK	PAK	ENG	Melbourne Cricket Ground	Melbourne	Australia	PAK	1	Shadab Khan	Shadab Khan	20	14	26	2	0	142.85	False	False	{'wickets': 6, 'runs': 123}	17.2	c Woakes b Jordan	<B>another slap across the line, another miscue!</B> Into the pitch once more from Jordan, Shadab tries to impart some oomph through the rising ball, but it's a simple take for Woakes at mid-off, on the edge of the ring. This innings is starting to splutter now	NaN
6	2022	1298179	ENG v PAK	PAK	ENG	Melbourne Cricket Ground	Melbourne	Australia	PAK	1	Mohammad Nawaz(3)	Mohammad Nawaz	5	7	11	0	0	71.42	False	False	{'wickets': 7, 'runs': 129}	18.3	c Livingstone b Curran	<B>fires in the full length, chipped to Livingstone in the deep!</B> Curran is making his play for man of the tournament here! Nawaz thought this was his release ball, tailing into his toes, but with these vast square boundaries, he needed more elevation than that to beat the man in the deep.	NaN
7	2022	1298179	ENG v PAK	PAK	ENG	Melbourne Cricket Ground	Melbourne	Australia	PAK	1	Mohammad Wasim(1)	Mohammad Wasim	4	8	12	0	0	50.00	False	False	{'wickets': 8, 'runs': 131}	19.3	c Livingstone b Jordan	slower ball, back of a length, <B>hoisted to Livingstone in the deep once more!</B> Wasim had to take it on, wide long-on was lurking, ready to pounce, he had to make good ground but held on well while falling forward. Pakistan's innings is sliding away now	NaN
8	2022	1298179	ENG v PAK	PAK	ENG	Melbourne Cricket Ground	Melbourne	Australia	PAK	1	Shaheen Shah Afridi	Shaheen Shah Afridi	5	3	8	1	0	166.66	False	True	{}	NaN	not out	NaN	NaN
9	2022	1298179	ENG v PAK	PAK	ENG	Melbourne Cricket Ground	Melbourne	Australia	PAK	1	Haris Rauf	Haris Rauf	1	1	3	0	0	100.00	False	True	{}	NaN	not out	NaN	NaN

	season	match_id	match_name	home_team	away_team	venue	city	country	current_innings	innings_id	name	fullName	runs	ballsFaced	minutes	fours	sixes	strikeRate	captain	isNotOut	runningScore	runningOver	shortText	commentary	link
689	2022	1298135	NAM v SL	NAM	SL	Simonds Stadium, South Geelong, Victoria	Geelong	Australia	SL	2	BKG Mendis	Kusal Mendis	6	6	8	0	0	100.00	False	False	{'wickets': 1, 'runs': 12}	1.4	c &dagger;Green b Wiese	<strong>Straight up and Mendis falls early!</strong> Wiese brings his experience into play and gets his side that crucial wicket. Short of a length, Mendis' eyes light up as he gets about to play the pull. But that hurried onto him, and he could only get a top-edge with the ball ballooning up for the keeper to complete a comfortable catch. Wiese is elated.	NaN
690	2022	1298135	NAM v SL	NAM	SL	Simonds Stadium, South Geelong, Victoria	Geelong	Australia	SL	2	DM de Silva	Dhananjaya de Silva	12	11	25	1	0	109.09	False	False	{'wickets': 4, 'runs': 40}	6.3	c Shikongo b Frylinck	<strong>Soft, soft dismissal and Frylinck now strikes!</strong> Nonchalant length ball on the pads that he could have worked anywhere. Instead, he flicks it straight into the hands of Shikongo, who can do no wrong today, at backward square leg and pouches it. SL in trouble.	NaN
691	2022	1298135	NAM v SL	NAM	SL	Simonds Stadium, South Geelong, Victoria	Geelong	Australia	SL	2	MD Gunathilaka	Danushka Gunathilaka	0	1	2	0	0	0.00	False	False	{'wickets': 3, 'runs': 21}	3.3	c &dagger;Green b Shikongo	<strong>TWO IN TWO!</strong> Upset brewing? On a length tailing just a touch away from Gunathilaka, who opens the face of his blade but can get only a tickle to the keeper. The Namibians are ecstatic and why not. Gunathilaka comes and goes.	NaN
692	2022	1298135	NAM v SL	NAM	SL	Simonds Stadium, South Geelong, Victoria	Geelong	Australia	SL	2	PBB Rajapaksa	Bhanuka Rajapaksa	20	21	39	2	0	95.23	False	False	{'wickets': 5, 'runs': 74}	10.3	c la Cock b Scholtz	<b>And Bhanuka is holes out at long on!</b> The drinks break has brought about the breakthrough as it so often does, as Bhanuka comes down the track looks to get under this to go high and long. He only gets the height though, as La Cock completes a straightforward take.	NaN
693	2022	1298135	NAM v SL	NAM	SL	Simonds Stadium, South Geelong, Victoria	Geelong	Australia	SL	2	MD Shanaka	Dasun Shanaka	29	23	37	2	1	126.08	True	False	{'wickets': 7, 'runs': 88}	13.6	c &dagger;Green b Frylinck	<b>And the captain goes!</b> Is that the final nail in the coffin of Sri Lanka? This was a length ball on and Shanaka looks to go big, but only manages a top edge straight up. The keeper calls for it, and completes an excellent catch diving forward.	NaN
694	2022	1298135	NAM v SL	NAM	SL	Simonds Stadium, South Geelong, Victoria	Geelong	Australia	SL	2	PWH de Silva	Wanindu Hasaranga de Silva	4	8	9	0	0	50.00	False	False	{'wickets': 6, 'runs': 80}	12.3	c Loftie-Eaton b Scholtz	<b>Top edge and taken brilliantly at deep midwicket!</b> Another one bites the dust, and this time it's Hasaranga, who looks to slog sweep this over deep midwicket but only gets a high top edge. Loftie-Eaton runs in from the ropes and holds on to an excellent diving take. Sri Lanka folding fast here.	NaN
695	2022	1298135	NAM v SL	NAM	SL	Simonds Stadium, South Geelong, Victoria	Geelong	Australia	SL	2	C Karunaratne	Chamika Karunaratne	5	8	15	0	0	62.50	False	False	{'wickets': 9, 'runs': 92}	15.2	c Baard b Smit	<b>And now it's surely over!</b> Chamika comes down the track to this back of a length ball and swings wildly. Ends up in a top edge down to long off running in. What a performance this has been from Namibia!	NaN
696	2022	1298135	NAM v SL	NAM	SL	Simonds Stadium, South Geelong, Victoria	Geelong	Australia	SL	2	Pramod Madushan	Pramod Madushan	0	0	4	0	0	-	False	False	{'wickets': 8, 'runs': 88}	14.2	run out (van Lingen/&dagger;Green)	<b>And is this another one?!</b> This looks very close. They look to drop this and run, but Madushan at the non-striker's end is slow off the blocks. And yes, that means he's a good foot short. Sri Lanka don't look like they're coming back from this.	NaN
697	2022	1298135	NAM v SL	NAM	SL	Simonds Stadium, South Geelong, Victoria	Geelong	Australia	SL	2	PVD Chameera	Dushmantha Chameera	8	15	20	0	0	53.33	False	False	{'wickets': 10, 'runs': 108}	18.6	c Erasmus b Wiese	<b>And that's that!</b> Chameera looks to swing this over deep midwicket but only finds the man in the deep. What a win for Namibia, as they secure a <b>55-run win!</b>	NaN
698	2022	1298135	NAM v SL	NAM	SL	Simonds Stadium, South Geelong, Victoria	Geelong	Australia	SL	2	M Theekshana	Maheesh Theekshana	11	11	14	0	1	100.00	False	True	{}	NaN	not out	NaN	NaN

Overview

Variables

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Length

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Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

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Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts